Compact reliable fault-tolerant modular high power converters. Compact reliable fault-tolerant modular high power converters. This project aims to deliver new and advanced converter hardware and control designs with drastically smaller reactive components that are cheaper to convert, more reliable and compact. Voltage and current-sourced modular multilevel converters have delivered the required voltage/current/power ratings for utility applications such as static compensators and high-voltage di ....Compact reliable fault-tolerant modular high power converters. Compact reliable fault-tolerant modular high power converters. This project aims to deliver new and advanced converter hardware and control designs with drastically smaller reactive components that are cheaper to convert, more reliable and compact. Voltage and current-sourced modular multilevel converters have delivered the required voltage/current/power ratings for utility applications such as static compensators and high-voltage direct current transmission. However, these energy storage components, including embedded batteries, are overwhelmingly large. Anticipated outcomes are that compact, cheaper and even more efficient power electronic energy converters will enable much needed sustainable energy grids; reduce the cost of integrating renewable energy generation in the grid and achieve even more efficient electronic control of electric systems.Read moreRead less
Transforming Microgrid to Virtual Power Plant –ICT Frameworks,Tools,Control. The project aims to enhance large scale renewable penetrations to national power grid by advancing control, optimization, and ancillary services of Virtual Power Plants (VPPs), considering different disruptive events including recent South Australian blackout. This project expects to create new control, frame communication architecture, develop plug and play type IoT enabled grid interfacing inverter, and optimize resou ....Transforming Microgrid to Virtual Power Plant –ICT Frameworks,Tools,Control. The project aims to enhance large scale renewable penetrations to national power grid by advancing control, optimization, and ancillary services of Virtual Power Plants (VPPs), considering different disruptive events including recent South Australian blackout. This project expects to create new control, frame communication architecture, develop plug and play type IoT enabled grid interfacing inverter, and optimize resource management for distributed VPPs. The anticipated benefits from this institutional level collaborations are that VPPs help in enhancing national power grid operations during normal and disruptive conditions when more renewables are connected and also secure benefits of consumers, prosumers, and grid operators.Read moreRead less
A Next Generation Smart Solid-State Transformer for Power Grid Applications. The research aims to design, develop and implement a next generation, compact and light-weight, smart solid-state transformer with a newly developed high-frequency magnetic link and power converters that will provide a better and faster voltage transformation and regulation and support the power grids. The proposed research will revolutionize the power grids by replacing the traditional transformer with a new device mad ....A Next Generation Smart Solid-State Transformer for Power Grid Applications. The research aims to design, develop and implement a next generation, compact and light-weight, smart solid-state transformer with a newly developed high-frequency magnetic link and power converters that will provide a better and faster voltage transformation and regulation and support the power grids. The proposed research will revolutionize the power grids by replacing the traditional transformer with a new device made of solid-state power modules that will have multi-feature and multi-function ability and control facilities. The technology developed in this research will help make energy networks more efficient, smart, reliable and flexible, having direct benefits to renewable energy growth, with long-term impact on national economy.Read moreRead less
Quantification, optimisation, and application of deep uncertainty. This project aims to develop a framework for deep uncertainty quantification. There is currently a fundamental gap between deep learning research and the methods required to quantify and manage uncertainties. The research will propose a novel distribution-free methodology to generate deep predictive uncertainty estimates to avoid the assumptions of existing methods. The quality of estimates will be enhanced by applying an interva ....Quantification, optimisation, and application of deep uncertainty. This project aims to develop a framework for deep uncertainty quantification. There is currently a fundamental gap between deep learning research and the methods required to quantify and manage uncertainties. The research will propose a novel distribution-free methodology to generate deep predictive uncertainty estimates to avoid the assumptions of existing methods. The quality of estimates will be enhanced by applying an interval-based adversarial training step. The project is expected to help data-driven Australian organisations and industries to better quantify and manage forecasting uncertainties. This project will provide them with significant cost savings through better decision making and more robust planning.Read moreRead less